Nir Drayman

1.7k total citations
22 papers, 649 citations indexed

About

Nir Drayman is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Nir Drayman has authored 22 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Nir Drayman's work include Herpesvirus Infections and Treatments (7 papers), Polyomavirus and related diseases (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Nir Drayman is often cited by papers focused on Herpesvirus Infections and Treatments (7 papers), Polyomavirus and related diseases (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Nir Drayman collaborates with scholars based in United States, Israel and Switzerland. Nir Drayman's co-authors include Ariella Oppenheim, Savaş Tay, Veronika Butin‐Israeli, Luke Vistain, Oren Kobiler, Yoav Bauman, Ofer Mandelboim, Alon Vitenshtein, Noam Stern‐Ginossar and Daphna Nachmani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Chemical Communications.

In The Last Decade

Nir Drayman

21 papers receiving 636 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nir Drayman United States	14	287	175	160	154	98	22	649
Siting Zhao China	14	297 1.0×	227 1.3×	117 0.7×	81 0.5×	75 0.8×	39	725
Christine A. Schneider United States	13	227 0.8×	104 0.6×	132 0.8×	116 0.8×	246 2.5×	21	783
Enxiu Wang China	13	298 1.0×	119 0.7×	196 1.2×	121 0.8×	193 2.0×	21	743
Yan‐Peng Xu China	14	332 1.2×	183 1.0×	36 0.2×	88 0.6×	229 2.3×	36	673
Marietta Müller United Kingdom	11	107 0.4×	69 0.4×	120 0.8×	142 0.9×	72 0.7×	14	398
Brian D. O’Donovan United States	8	301 1.0×	43 0.2×	39 0.2×	171 1.1×	62 0.6×	10	725
Wuxun Lu United States	15	490 1.7×	198 1.1×	101 0.6×	404 2.6×	242 2.5×	25	1.0k
Ka‐Wei Tang Sweden	13	183 0.6×	85 0.5×	146 0.9×	275 1.8×	71 0.7×	20	588
Chun-Nan Lee Taiwan	8	215 0.7×	181 1.0×	80 0.5×	60 0.4×	112 1.1×	9	521
Anna Bellizzi Italy	17	240 0.8×	56 0.3×	435 2.7×	202 1.3×	149 1.5×	46	869

Countries citing papers authored by Nir Drayman

Since Specialization

Citations

This map shows the geographic impact of Nir Drayman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nir Drayman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Drayman more than expected).

Fields of papers citing papers by Nir Drayman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir Drayman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nir Drayman. The network helps show where Nir Drayman may publish in the future.

Co-authorship network of co-authors of Nir Drayman

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Drayman. A scholar is included among the top collaborators of Nir Drayman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nir Drayman. Nir Drayman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Neugebauer, Eva, Stephanie Wälter, Nir Drayman, et al.. (2025). Herpesviruses mimic zygotic genome activation to promote viral replication. Nature Communications. 16(1). 710–710. 3 indexed citations

Drayman, Nir, et al.. (2025). HSV-1 progeny production by individual human keratinocytes spans three orders of magnitude. Journal of Virology. 99(9). e0113825–e0113825.

Tay, Savaş, et al.. (2024). A drug repurposing screen identifies decitabine as an HSV-1 antiviral. Microbiology Spectrum. 12(11). e0175424–e0175424. 6 indexed citations

Bost, Pierre & Nir Drayman. (2023). Dissecting viral infections, one cell at a time, by single-cell technologies. Microbes and Infection. 26(7). 105268–105268. 1 indexed citations

Shitrit, Alina, Hila Kobo, Savaş Tay, et al.. (2023). Shared sequence characteristics identified in non-canonical rearrangements of HSV-1 genomes. Journal of Virology. 97(12). e0095523–e0095523. 3 indexed citations

Gent, Michiel van, et al.. (2021). High-throughput RNA sequencing of paraformaldehyde-fixed single cells. Nature Communications. 12(1). 5636–5636. 38 indexed citations

Drayman, Nir, et al.. (2021). Computer vision reveals hidden variables underlying NF-κB activation in single cells. Science Advances. 7(43). eabg4135–eabg4135. 8 indexed citations

Lin, Jing, Christian Jordi, Minjun Son, et al.. (2019). Ultra-sensitive digital quantification of proteins and mRNA in single cells. Nature Communications. 10(1). 3544–3544. 44 indexed citations

Drayman, Nir, et al.. (2019). Coalescing replication compartments provide the opportunity for recombination between coinfecting herpesviruses. The FASEB Journal. 33(8). 9388–9403. 30 indexed citations

10.

Drayman, Nir, et al.. (2019). HSV-1 single-cell analysis reveals the activation of anti-viral and developmental programs in distinct sub-populations. eLife. 8. 98 indexed citations

11.

Drayman, Nir, Omer Karin, Avi Mayo, et al.. (2017). Dynamic Proteomics of Herpes Simplex Virus Infection. mBio. 8(6). 23 indexed citations

12.

Drayman, Nir, Orly Ben-nun-Shaul, Veronika Butin‐Israeli, et al.. (2016). p53 elevation in human cells halt SV40 infection by inhibiting T-ag expression. Oncotarget. 7(33). 52643–52660. 12 indexed citations

13.

Glick, Yaïr, Nir Drayman, Grégory Neveu, et al.. (2016). Pathogen receptor discovery with a microfluidic human membrane protein array. Proceedings of the National Academy of Sciences. 113(16). 4344–4349. 16 indexed citations

14.

Bauman, Yoav, Nir Drayman, Orly Ben-nun-Shaul, et al.. (2016). Downregulation of the stress-induced ligand ULBP1 following SV40 infection confers viral evasion from NK cell cytotoxicity. Oncotarget. 7(13). 15369–15381. 20 indexed citations

15.

Drayman, Nir, Yaïr Glick, Orly Ben-nun-Shaul, et al.. (2013). Pathogens Use Structural Mimicry of Native Host Ligands as a Mechanism for Host Receptor Engagement. Cell Host & Microbe. 14(1). 63–73. 42 indexed citations

16.

Kobiler, Oren, Nir Drayman, Veronika Butin‐Israeli, & Ariella Oppenheim. (2012). Virus strategies for passing the nuclear envelope barrier. Nucleus. 3(6). 526–539. 80 indexed citations

17.

Bauman, Yoav, Daphna Nachmani, Alon Vitenshtein, et al.. (2011). An Identical miRNA of the Human JC and BK Polyoma Viruses Targets the Stress-Induced Ligand ULBP3 to Escape Immune Elimination. Cell Host & Microbe. 9(2). 93–102. 146 indexed citations

18.

Drayman, Nir & Ariella Oppenheim. (2011). Rapid Titration of Viruses by Flow Cytometry. Current Protocols in Cell Biology. 51(1). Unit 26.11–Unit 26.11. 15 indexed citations

19.

Drayman, Nir, et al.. (2009). Rapid method for SV40 titration. Journal of Virological Methods. 164(1-2). 145–147. 13 indexed citations

20.

Leiba, Adi, Nir Drayman, Adi Aran, et al.. (2007). Establishing a High Level of Knowledge Regarding Bioterrorist Threats in Emergency Department Physicians: Methodology and the Results of a National Bio-Preparedness Project. Prehospital and Disaster Medicine. 22(3). 207–211. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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